Class size for this event is limited to 12 students. If the class is sold out and you wish to be added to a waiting list, contact the event organizer.

This training course is a compact two day introduction into additional possibilities of performing data mining and business analytics with the software RapidMiner and the data analysis server RapidAnalytics. After this training course the participants will have a complete understanding of how Rapid-I software works and is used. The participants will be able to prepare data and create predictive models in standard data environments typically found within most analyst positions as well as in many more uncommon environments. Due to a high number of practical exercises, the participants will be able to transfer the gained knowledge to own data mining problems and solve them quickly and easily.

Participants may introduce their own work and project specific questions in order to find particular solutions together with the trainer and other participants. The training course addresses beginners and intermediate learners.

Topics

Data Preparation

Changing value types by discretization and dichotimization

Balancing data

Joins

Detection and removal of outliers

Dimensionality reduction

Predictive Models

Neural Networks

Logistic Regression

Meta Learning: Bagging and Boosting

Model Evaluation

Advanced performance criteria

Comparison between models

Significance tests

Validation of preprocessing and preprocessing models

Scoring

Scaling confidences

Filter uncertain predictions

Deployment

Sharing data, models, and processes

Exporting processes as web service

Basics of report creation

Managing processes and services

Prerequisites

You must bring a laptop to class (Windows, Mac or Linux OS is fine). Should have Java Runtime Environment (JRE) version 1.6 (officially Java 6.0) or later installed. Students will be provided with links to install the Community Version of RapidMiner prior to the class.

Instructor

Marius Helf

Marius Helf is an experienced project engineer and project consultant. Marius has been using Rapid-I's software for many years developing analytics solutions for clients.

Training Facility Logistics

The training will be held in northern Dallas in the Inwood area at the MicroTek facilty. The facility is located near the intersection of Hwy I-635 and the Dalls North Tollway. Check their website for directions, nearby hotel and other information.

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Classes require a minimum of 3 students by May 8 to be held. If there are insufficient registrants, the class may be cancelled and all students will be refunded the full registration fee. Students should organize their travel arrangements accordingly and with this proviso. Rapid-I will promptly notify registered users as soon as the 3 students quota will be met.

Organizer

RapidMiner

RapidMiner is the industry's easiest-to-use Modern Analytics platform that significantly accelerates productivity – from data prep to predictive action – with prebuilt models and one click deployments. Leveraging its open source heritage, RapidMiner was built by data scientists for data scientists, business analysts and developers. Unlike traditional analytics providers, RapidMiner enables anyone to make the most of all data in all environments, by providing a powerful code free advantage and the wisdom of over 250,000 users around the world.

RapidMiner offers training courses for business analytics, data mining, predictive analytics, predictive reporting, text and web mining, and related topics. Below are upcoming courses in the USA. We also offer courses in the UK and Germany.